Stars
code for "Intra-hour Photovoltaic Generation Forecasting based on Multi-source Data and Deep Learning Methods." IEEE Transactions on Sustainable Energy
A Library for Advanced Deep Time Series Models.
图深度学习（葡萄书），在线阅读地址： https://datawhalechina.github.io/grape-book
Official implementation of the paper "MotionAGFormer: Enhancing 3D Pose Estimation with a Transformer-GCNFormer Network" (WACV 2024).
LargeST: A Benchmark Dataset for Large-Scale Traffic Forecasting (NeurIPS 2023 DB Track)
[TPAMI 2024] Awesome Resources of GNNs for Time Series Analysis (GNN4TS)
TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods (PVLDB 2024) https://www.vldb.org/pvldb/vol17/p2363-hu.pdf
INCREASE: Inductive Graph Representation Learning for Spatio-Temporal Kriging
Awesome Deep Learning for Time-Series Imputation, including a must-read paper list about applying neural networks to impute incomplete time series containing NaN missing values/data
A Library for Advanced Deep Time Series Models.
The code of the AAAI-19 paper "AFS: An Attention-based mechanism for Supervised Feature Selection".
The official repo for the paper "Teacher Forcing Recovers Reward Functions for Text Generation"
Coping with Concept Drift using Profiles
强化学习算法库，包含了目前主流的强化学习算法(Value based and Policy based)的代码，代码都经过调试并可以运行
The implementation of "End-to-End Multi-Task Learning with Attention" [CVPR 2019].
🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.
Transformer: PyTorch Implementation of "Attention Is All You Need"
This code is the implementation of this paper (Multistage attention network for multivariate time series prediction)
Biologically Plausible Reinforcement Learning models with LSTM Spiking Neural Networks
The GitHub repository for the paper "Informer" accepted by AAAI 2021.
A PyTorch Library for Multi-Task Learning